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Inhaltsangabe
This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.
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Über die Autorin bzw. den Autor
Dr. Pramod Gupta is working as a Senior Principal Data Scientist at NovaSignal. has more than 20 years of experience as a researcher and academician in various organizations including work with NASA, GE, VISA, and University of California and startups. He has a PhD from McMaster University in Electrical and Computer Engineering with specialization in Neuro-Control of Robotic Manipulators. He has more than 40 publications on these subjects. His research areas include Neural Networks, Machine Learning, Artificial Intelligence, Data Modeling and Analytics and Data mining.
Dr. Naresh K. Sehgal is working as a Senior VP of Cloud Engineering at NovaSignal. Prior to that he spent 31 years at Intel in various technical and management roles. Naresh completed his B.E. from Punjab Engineering College, M.S. and Ph.D. from Syracuse University. Naresh has taught a Cloud Computing class at Santa Clara University, where healso earned a MBA. Naresh is the co-author of two books on Cloud Computing and Security. In addition, he has 5 patents and over 30 published papers.
Von der hinteren Coverseite
This book provides an introduction to machine learning and cloud computing, both from conceptual and practical levels, along with their usage with a Public Cloud infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and security considerations, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and several case studies.
- Provides broad coverage of AI, Machine Learning and Cloud Computing;
- Uses real examples and case studies to demonstrate key topics;
- Demonstrates concepts, as well as practical usage.
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